DocumentCode :
3168562
Title :
Smart autonomous self powered wireless sensor networks based low-cost landslide detection system
Author :
Karthik, S. ; Yokesh, K. ; Jagadeesh, Y.M. ; Sathiendran, R.K.
Author_Institution :
Dept. of EEE, Panimalar Eng. Coll., Chennai, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
1
Lastpage :
4
Abstract :
Landslides are one of the very serious geologic hazard happens in almost every country around the World. Globally, landslides cause hundreds of thousands of deaths and injuries each year and also Financial Losses. Landslides are mostly unpredictable and occur within a short period of time. To save human life and avoid losses, efficient Technology has to be developed and implemented in high geologically hazardous Areas with low cost. Wireless Sensor Networks Plays a major role in Environment monitoring system. This paper is concerned with the development and implementation of Low cost Autonomous Wireless Sensor Networks based Landslide detection integrated with self-energy harvesting Powered early warning systems (WSN-SEH). WSN-SEH consists of MEMS sensors, Energy harvesting systems, Low power embedded controllers, efficient power Management systems and Super capacitors as storage device.
Keywords :
computerised monitoring; energy harvesting; geology; geomorphology; intelligent sensors; microsensors; wireless sensor networks; MEMS sensors; WSN-SEH; embedded controller; environment monitoring system; geologic hazard; landslide detection system; power management system; self-energy harvesting powered early warning systems; smart autonomous self powered wireless sensor networks; supercapacitor; Base stations; Capacitors; Energy harvesting; Energy storage; Sensors; Terrain factors; Wireless sensor networks; Boost converter; Energy Harvesting; Wireless sensor Network; landslide detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
Conference_Location :
Nagercoil
Type :
conf
DOI :
10.1109/ICCPCT.2015.7159265
Filename :
7159265
Link To Document :
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